
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:12:05
\begin{table}[!htbp] \centering 
  \caption{Effects of import competition on newspaper references to
        unemployment, vagrancy, and pauperism, exposure-robust standard errors} 
  \label{table_unemp_terms_ex} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccc} 
\toprule 
 & (1) & (2) & (3) & (4)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}$ & 0.095$^{***}$ & 0.073$^{*}$ & 0.204$^{***}$ & 0.170 \\ 
  & (0.027) & (0.038) & (0.074) & (0.105) \\ 
 \addlinespace 
\midrule  
Years & All & All & 1900--1910 & 1900--1910 \\ 
Initial Mf x year &  & x &  & x \\ 
First stage F-state & 7.4 & 7.2 & 8.2 & 7.4 \\ 
Observations & 665 & 665 & 285 & 285 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{4}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{4}{l}{\parbox[t]{0.5\textwidth}{
        This table replicates the results of Table \ref{table_unemp_terms_cl}
        using the aggregation and standard error calculation methods
        recommended by Borusyak, Hull, and Jaravel (2022). Newspaper-level
        variables aggregated to the industry level.
        Dependent variable is the number of references to
        ``unemployed,'' ``unemployment,'' and ``employment,'' minus the number of
        references to ``vagrants,'' ``vagrancy,'' ``pauper,'' and ``pauperism,''
        standardized. All models include newspaper and year fixed effects.
        For newspapers in cities, $\Delta$IPW
        is calculated at the city-, not constituency-level.
        Standard errors clustered by industry in parentheses.}} \\ 
\end{tabular} 
\end{table} 
